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» Building Classifiers Using Bayesian Networks
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LOCA
2007
Springer
14 years 4 months ago
The Whereabouts Diary
The user profile is one of the main context-information in a wide range of pervasive computing applications. Modern handheld devices provided with localization capabilities could a...
Gabriella Castelli, Marco Mamei, Alberto Rosi
CONEXT
2007
ACM
14 years 2 months ago
Identifying dynamic IP address blocks serendipitously through background scanning traffic
Today's Internet contains a large portion of "dynamic" IP addresses, which are assigned to clients upon request. A significant amount of malicious activities have b...
Yu Jin, Esam Sharafuddin, Zhi-Li Zhang
IDEAL
2000
Springer
14 years 1 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
ICONIP
2008
13 years 11 months ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
JIB
2006
220views more  JIB 2006»
13 years 10 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...